Abstract
The marine predators optimization algorithm (MPA) is a recently developed nature-inspired algorithm. In this paper, the Nelder-Mead algorithm is utilized to improve the local exploitation powers of the MPA when described as a hybrid marine predators and Nelder-Mead (HMPANM). Due to the harsh competitive conditions as well as the transition to new vehicles such as hybrid and full-electrical cars, the interest in the design of light and low-cost vehicles is increasing. In this study, a recent metaheuristic addition, a hybrid marine predators optimization algorithm, is used to solve a structural design optimization problem to prove how the HMPANM can be used in solving industrial design problems. The results strongly prove the capability of the HMPANM for the optimum design of components in the automotive industry.
| Original language | English |
|---|---|
| Pages (from-to) | 453-457 |
| Number of pages | 5 |
| Journal | Materialpruefung/Materials Testing |
| Volume | 63 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1 May 2021 |
Bibliographical note
Publisher Copyright:© 2021 Walter de Gruyter GmbH, Berlin/Boston, Germany 2021.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Marine predators optimization algorithm
- Nelder-Mead
- optimum design
- shape optimization
- vehicle design
ASJC Scopus subject areas
- General Materials Science
- Mechanics of Materials
- Mechanical Engineering
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